AI-SDLC Architect

UST • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • 11 hours ago

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Salary

≈ $54k – $124k per year (Estimated)

Location

In office (Hyderabad)

Seniority

Architect

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 9, 2026.

Overview

Company

Impact

Profile match

UST

UST is a digital transformation and technology services company that partners with clients to deliver AI-driven solutions and business outcomes. It hires data scientists, Salesforce integration specialists, Java, .NET and Node.js developers, mainly in Thiruvananthapuram, Kochi, Bengaluru and Hyderabad. The company is headquartered in Thiruvananthapuram, Kerala, India.

ust.com • HQ: Thiruvananthapuram, India • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • 5000+ employees

Tech stack of UST

We are seeking an experienced AI-SDLC Architect to help enterprise engineering teams adopt AI-native software delivery practices. This role combines architecture, engineering, and client engagement responsibilities to design, implement, and scale AI-assisted development workflows. The ideal candidate will have strong expertise in LLMs and LangGraph OR LangChain OR Crew AI frameworks, along with experience in Python, APIs, and RAG-based solutions to enable enterprise-scale AI-driven software engineering transformation.

Key Responsibilities

Assess existing software delivery processes and redesign them using AI-native and agentic development workflows.

Architect and implement AI-powered development solutions utilizing LangGraph OR LangChain OR Crew AI and LLM technologies.

Define AI-SDLC reference architectures, blueprints, and implementation approaches aligned with business and engineering goals.

Design and optimize AI-assisted software delivery workflows integrated with enterprise engineering environments.

Develop and integrate APIs that enable seamless communication between AI platforms, development tools, and enterprise applications.

Design and implement RAG-based solutions to enhance contextual intelligence, knowledge retrieval, and developer productivity.

Build and deploy AI-powered engineering solutions using Python and modern development best practices.

Collaborate closely with client engineering teams to drive adoption of AI-powered development practices.

Provide technical leadership on AI-native SDLC transformation, architecture reviews, and engineering best practices.

Support governance, operational scalability, and usage management for AI-assisted engineering platforms.

Communicate architectural decisions, implementation strategies, trade-offs, and rollout plans to technical and business stakeholders.

Required Skills

Proficient

LangGraph OR LangChain OR Crew AI
LLM

Intermediate

Python
API
RAG

Experience

Proven experience as a Forward Deployed Engineer, Solution Architect, Technical Architect, or Lead Engineer working directly with client engineering teams.
Strong experience implementing AI-assisted development workflows and modern software delivery practices.
Hands-on experience with cloud-based application delivery and secure deployment models.
Experience collaborating with architects, engineers, security teams, and business stakeholders.

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